Share

Special Section Containing Papers from the Seventh International Conference on Machine Learning and Applications (San Diego, CA, USA, 11 -13 December 2008)

2009
Download Special Section Containing Papers from the Seventh International Conference on Machine Learning and Applications (San Diego, CA, USA, 11 -13 December 2008) PDF Online Free

Author :
Release : 2009
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

GET EBOOK


Book Synopsis Special Section Containing Papers from the Seventh International Conference on Machine Learning and Applications (San Diego, CA, USA, 11 -13 December 2008) by : International Conference on Machine Learning and Applications

Download or read book Special Section Containing Papers from the Seventh International Conference on Machine Learning and Applications (San Diego, CA, USA, 11 -13 December 2008) written by International Conference on Machine Learning and Applications. This book was released on 2009. Available in PDF, EPUB and Kindle. Book excerpt:

2008 Seventh International Conference on Machine Learning and Applications

2008
Download 2008 Seventh International Conference on Machine Learning and Applications PDF Online Free

Author :
Release : 2008
Genre :
Kind : eBook
Book Rating : 649/5 ( reviews)

GET EBOOK


Book Synopsis 2008 Seventh International Conference on Machine Learning and Applications by :

Download or read book 2008 Seventh International Conference on Machine Learning and Applications written by . This book was released on 2008. Available in PDF, EPUB and Kindle. Book excerpt:

Online Portfolio Selection

2018-10-30 Business & Economics
Download Online Portfolio Selection PDF Online Free

Author :
Release : 2018-10-30
Genre : Business & Economics
Kind : eBook
Book Rating : 642/5 ( reviews)

GET EBOOK


Book Synopsis Online Portfolio Selection by : Bin Li

Download or read book Online Portfolio Selection written by Bin Li. This book was released on 2018-10-30. Available in PDF, EPUB and Kindle. Book excerpt: With the aim to sequentially determine optimal allocations across a set of assets, Online Portfolio Selection (OLPS) has significantly reshaped the financial investment landscape. Online Portfolio Selection: Principles and Algorithms supplies a comprehensive survey of existing OLPS principles and presents a collection of innovative strategies that leverage machine learning techniques for financial investment. The book presents four new algorithms based on machine learning techniques that were designed by the authors, as well as a new back-test system they developed for evaluating trading strategy effectiveness. The book uses simulations with real market data to illustrate the trading strategies in action and to provide readers with the confidence to deploy the strategies themselves. The book is presented in five sections that: Introduce OLPS and formulate OLPS as a sequential decision task Present key OLPS principles, including benchmarks, follow the winner, follow the loser, pattern matching, and meta-learning Detail four innovative OLPS algorithms based on cutting-edge machine learning techniques Provide a toolbox for evaluating the OLPS algorithms and present empirical studies comparing the proposed algorithms with the state of the art Investigate possible future directions Complete with a back-test system that uses historical data to evaluate the performance of trading strategies, as well as MATLAB® code for the back-test systems, this book is an ideal resource for graduate students in finance, computer science, and statistics. It is also suitable for researchers and engineers interested in computational investment. Readers are encouraged to visit the authors’ website for updates: http://olps.stevenhoi.org.

Enabling Machine Learning Applications in Data Science

2021-05-27 Technology & Engineering
Download Enabling Machine Learning Applications in Data Science PDF Online Free

Author :
Release : 2021-05-27
Genre : Technology & Engineering
Kind : eBook
Book Rating : 298/5 ( reviews)

GET EBOOK


Book Synopsis Enabling Machine Learning Applications in Data Science by : Aboul Ella Hassanien

Download or read book Enabling Machine Learning Applications in Data Science written by Aboul Ella Hassanien. This book was released on 2021-05-27. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected high-quality research papers presented at Arab Conference for Emerging Technologies 2020 organized virtually in Cairo during 21–23 June 2020. This book emphasizes the role and recent developments in the field of emerging technologies and artificial intelligence, and related technologies with a special focus on sustainable development in the Arab world. The book targets high-quality scientific research papers with applications, including theory, practical, prototypes, new ideas, case studies and surveys which cover machine learning applications in data science.

Machine Learning for Cyber Physical Systems

2020-12-23 Technology & Engineering
Download Machine Learning for Cyber Physical Systems PDF Online Free

Author :
Release : 2020-12-23
Genre : Technology & Engineering
Kind : eBook
Book Rating : 469/5 ( reviews)

GET EBOOK


Book Synopsis Machine Learning for Cyber Physical Systems by : Jürgen Beyerer

Download or read book Machine Learning for Cyber Physical Systems written by Jürgen Beyerer. This book was released on 2020-12-23. Available in PDF, EPUB and Kindle. Book excerpt: This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.

You may also like...